Following unprecedented success on the natural language tasks, Transformers have been
successfully applied to several computer vision problems, achieving state-of-the-art results …

With the rapid development of the Internet of Things (IoT) and the rise of 5G communication
networks and automatic driving, millimeter wave (mmWave) sensing is emerging and starts …

Ghost imaging (GI) facilitates image acquisition under low-light conditions by single-pixel
measurements and thus has great potential in applications in various fields ranging from …

Deep neural networks provide unprecedented performance gains in many real-world
problems in signal and image processing. Despite these gains, the future development and …

One of the most exciting tools that have entered the material science toolbox in recent years
is machine learning. This collection of statistical methods has already proved to be capable …

On-chip spectrometers with compact footprints are being extensively investigated owing to
their promising future in critical applications such as sensing, surveillance and spectral …

The majority of exchanges of oxygen and nutrients are performed around vessels smaller
than 100 μm, allowing cells to thrive everywhere in the body. Pathologies such as cancer …

Sparse modeling for signal processing and machine learning, in general, has been at the
focus of scientific research for over two decades. Among others, supervised sparsity-aware …

Terahertz (THz) radiation is poised to have an essential role in many imaging applications,
from industrial inspections to medical diagnosis. However, commercialization is prevented …

Self-driving cars constantly assess their environment to choose routes, comply with traffic
regulations, and avoid hazards. To that aim, such vehicles are equipped with wireless …